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Senior Machine Learning Engineer (Operations) - Loyalty, Partnership & Monetisation

GO-JEK

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Job Summary


Salary
$10,417 - $17,623 SGD / Monthly EST

Job Type
Permanent

Seniority
Senior

Years of Experience
At least 5 years

Tech Stacks
TensorFlow
Google Cloud
Apache Beam
Helm
PyTorch
BigQuery
Apache
Spark
Kubernetes
kafka
Elasticsearch
Terraform
PostgreSQL
Scala
Redis
Go
Python
Java

Job Description


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Don your helmet and climb aboard if you’re ready to be our Machine Learning Intern. In this role, you will get to design and build Gojek's machine learning infrastructure and platform. Your efforts will be critical in ensuring rapid and reliable Machine Learning products and functionality for our consumer app and behind-the-scenes efficiency. In our humble opinion, the coolest part of this role is that your work will directly influence the production quality systems at all stages of the Machine Learning lifecycle for Gojek.

What You Will Do
  • Deploy the next generation of Machine Learning systems (such as inference search & recco models) that personalize user experience on Gojek using existing infrastructure and tools
  • Design, build, evaluate, ship, and refine products by hands-on Machine Learning development
  • Establish guidelines on infrastructure usage
  • Hands-on development on Machine Learning infrastructure and collaborate with Data Scientists to optimize Machine Learning models for high-throughput, low-latency use cases
  • Develop and deploy architectures through product engineering and existing model deployment tools

What You Will Need
  • At least 5 years of hands-on experience with large-scale systems in data science / software engineering / machine learning engineering
  • Strong background in machine learning deployment.
  • Hands-on experience implementing or prototyping machine learning systems at scale in Python, Java, Scala, Go or similar languages.
  • Proven track-record building large-scale, high-throughput, low-latency production systems
  • Experience with relational databases, non-relational databases (BigQuery, Postgres, Redis), cloud environments, and cloud deployment technology (Terraform, Kubernetes, Helm)
  • Experience with TensorFlow, PyTorch, and/or Google Cloud Platform is a plus
  • Experience with ElasticSearch is a plus
  • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam, Spark, Kafka, MLFlow is a plus

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